ABBVIE - Deploying an AI-Driven Framework to Strengthen Trial Integrity at Scale

Session details:

Hear how AbbVie deploys a scalable, AI-driven framework to safeguard clinical trial integrity by detecting site fraud and duplicate patient enrollment. By benchmarking site behavior across studies and analyzing baseline EHR data, the approach identifies anomalous sites and flags potential duplicate participants before dosing. Using de-identified digital embeddings, the model proactively surfaces high-risk subjects at scale. Validated across global trials, this solution enhances data quality and patient safety while integrating seamlessly into existing workflows with full auditability. Attendees will gain actionable insights on:

• How AI can be effectively operationalized within clinical trials and R&D informatics environments to improve data quality and trial integrity

• How AI solutions from other industries/fields can be leveraged and customized for clinical use cases

• How to align analytics innovation with regulatory and operational realities